Search1API

A live-web search API for agents solves a real pain point — most agent pipelines still struggle with stale training data. Does it support structured/schema output for agent tool-calling, or is it plain text search results?

Strong positioning for agent builders. The useful part is bundling search, crawl, clean markdown extraction, and MCP/CLI access into one surface, because orchestration friction is often the real blocker rather than search alone. I would like to see examples of freshness guarantees and rate-limit behavior for long-running monitoring jobs.

OAuth instead of pasted API keys is the right default for agents, and the markdown extraction matters more than the engine list. Question: do you enforce per-key rate limits separately from the OAuth token? Agent workflows retry aggressively, and without an obvious burst policy a single stuck loop could exhaust a paid quota before anyone notices.

I kept hitting the same wall when giving AI agents live web access: search APIs, crawlers, proxies, and parsers were all separate products. Search1API is the layer I wanted — one API, plus MCP, CLI, and skills, for search, crawl, extract, news, sitemap, and trending. Start with 100 free credits at s1.dev. No credit card. Happy to answer questions here.

one API, plus MCP, CLI, and skills, for search, crawl, extract, news, sitemap, and trending. is what I wanted an now I have it here

I’ve been looking at tools like this for AI projects lately. Having search and crawling behind one API is pretty convenient, especially with the MCP support.

The hosted MCP server plus OAuth is the part that stands out — pasting API keys into every agent config is exactly the friction that stops teams from adopting search tools. A few things I'd want to know before switching from a scraping stack: how do you handle rate limits and per-engine failures in the multi-engine search (does it fall back automatically or return partial results?), and what does the Markdown extraction do with heavily JS-rendered pages? Also, is there a cost difference per credit between search, crawl and the residential proxy option? The 100 free credits with no card is a good low-friction start.

The site-adapted crawl with clean markdown extraction is the part I'd find most useful — I run a niche web tool and getting clean content out of hobbyist blogs that break naive scrapers is a constant headache. One question: does the markdown extraction preserve structured elements like tables and image alt text, or does it flatten pages into plain paragraphs? That distinction matters a lot when an agent needs to summarize tutorial or comparison content accurately. Also nice that OAuth lets agents connect without pasted API keys — that removes a real friction point for MCP-based setups.

How is this differeny from AI's native search?

this can help many apps work with real-time data

The site-adapted markdown crawl is the piece I'd actually wire up. We already fingerprint public URLs on a schedule and fire webhooks on content drift, so a clean markdown extract would be more useful than another SERP wrapper. Two questions: can crawl return a stable content hash or ETag so we can skip unchanged pages, and do the 100 free credits apply per crawl or per search call?

The combination of multi-engine search, clean markdown extraction, and a hosted MCP server feels practical for agents that need current documentation. OAuth is a strong touch for avoiding copied API keys. Do you expose one consistent schema across search and crawl results so tool-calling agents can switch modes without extra adapters?

For citation-heavy agents, can a crawl response preserve the requested URL, final redirected URL and retrieval timestamp alongside the Markdown? A minimal response example would help distinguish changed source content from a model-generated citation. I work on TopxAI API integrations and have not tested Search1API yet.